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Proceedings Paper

Face verification system based on texture feature with single sample per person
Author(s): Xiongjing Wang; Wenming Yang; Qingmin Liao
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Paper Abstract

This paper introduces a face verification system implementation. In feature extraction, the algorithm is based on a classical texture descriptor, Local Binary Patterns (LBP). In decision making, a new method is proposed to determine the Client Dependent threshold (CD-th). Compared with the traditional fixed threshold, it significantly reduces error rate. Moreover, a symmetry factor is defined to increase frontal face detection rate. And a storage mode is designed to reduce time consumption in feature extraction. The implemented face verification system requires only one sample per person, and overcomes the difficulties appearing in multi-sample face verification system, including image capture problem, storage limitation and time-consumption. The experiments demonstrate the effectiveness of our proposed system.

Paper Details

Date Published: 13 January 2012
PDF: 9 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834917 (13 January 2012); doi: 10.1117/12.920217
Show Author Affiliations
Xiongjing Wang, Tsinghua Univ. (China)
Wenming Yang, Tsinghua Univ. (China)
Qingmin Liao, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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